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1. Course structure.mp4
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MP4
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11.5 MB
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1. Course structure.srt
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SRT
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1.7 KB
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1. Data Science and Marketing.mp4
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MP4
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182.9 MB
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1. Data Science and Marketing.srt
|
SRT
|
21.1 KB
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1. Introduction.mp4
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MP4
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74.1 MB
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1. Introduction.srt
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SRT
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9.8 KB
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1. Thank you.mp4
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MP4
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23.3 MB
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1. Thank you.srt
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SRT
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1.6 KB
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10. Applying Data Transformation.mp4
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MP4
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56.4 MB
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10. Applying Data Transformation.srt
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SRT
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5.6 KB
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10. Interpreting Decision Tree.mp4
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MP4
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48.8 MB
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10. Interpreting Decision Tree.srt
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SRT
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6.2 KB
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10.1 Applying_Data_Transformation.ipynb
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IPYNB
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17 KB
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11. Summary of the project.mp4
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MP4
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15.9 MB
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11. Summary of the project.srt
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SRT
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2.6 KB
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2. Data Clean-Up.mp4
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MP4
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114.2 MB
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2. Data Clean-Up.srt
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SRT
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10.8 KB
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2. Data Cleanup.mp4
|
MP4
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108.6 MB
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2. Data Cleanup.srt
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SRT
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11.5 KB
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2. Data Preperation.mp4
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MP4
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99.3 MB
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2. Data Preperation.srt
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SRT
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8.9 KB
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2. Decision trees and interpretations.mp4
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MP4
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78.7 MB
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2. Decision trees and interpretations.srt
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SRT
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8.5 KB
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2. How To Make The Most Out Of This Course.mp4
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MP4
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8.2 MB
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2. How To Make The Most Out Of This Course.srt
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SRT
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2.4 KB
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2. Introduction to Key Performance Indicators and Visualizations.mp4
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MP4
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92.9 MB
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2. Introduction to Key Performance Indicators and Visualizations.srt
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SRT
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11.7 KB
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2. Product analytics Implementation Part 1.mp4
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MP4
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177.1 MB
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2. Product analytics Implementation Part 1.srt
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SRT
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17.1 KB
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2.1 Customer_Lifetime_Value.ipynb
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IPYNB
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17.6 KB
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2.1 Data_Driven_Customer_Segmentation.ipynb
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IPYNB
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29.8 KB
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2.1 Online Retail.xlsx
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XLSX
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22.6 MB
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2.1 Product_Recommendation_System.ipynb
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IPYNB
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17 KB
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2.2 From_Engagement_to_Conversions.ipynb
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IPYNB
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16.3 KB
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3. Building a customer-item matrix.mp4
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MP4
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77.3 MB
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|
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3. Building a customer-item matrix.srt
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SRT
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6.6 KB
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3. Computing and visualizing KPIs.mp4
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MP4
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46.3 MB
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|
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3. Computing and visualizing KPIs.srt
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SRT
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4.4 KB
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3. Conversion rates by job.mp4
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MP4
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66.6 MB
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3. Conversion rates by job.srt
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SRT
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6.6 KB
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3. Data Analysis Part 1.mp4
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MP4
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69.6 MB
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3. Data Analysis Part 1.srt
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SRT
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7.1 KB
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3. Important note on tool.mp4
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MP4
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5.1 MB
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|
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3. Important note on tool.srt
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SRT
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1.7 KB
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3. K-means Clustering.mp4
|
MP4
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124.5 MB
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|
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3. K-means Clustering.srt
|
SRT
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11.5 KB
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|
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3. Product analytics Implementation Part 2.mp4
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MP4
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99.9 MB
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3. Product analytics Implementation Part 2.srt
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SRT
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8.8 KB
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3.1 Customer_Lifetime_Value (1).ipynb
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IPYNB
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29.1 KB
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3.1 Data_Driven_Customer_Segmentation (1).ipynb
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IPYNB
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166.6 KB
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3.1 From_Engagement_to_Conversions (1).ipynb
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IPYNB
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41.2 KB
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3.1 Product_Analytics_Implementation.ipynb
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IPYNB
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139.8 KB
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|
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3.1 Product_Recommendation_System (1).ipynb
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IPYNB
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104.5 KB
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3.1 bank-additional-full.csv
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CSV
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5.6 MB
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4. Aggregate conversion rate.mp4
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MP4
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39.6 MB
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4. Aggregate conversion rate.srt
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SRT
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3.3 KB
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4. Collaborative Filtering.mp4
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MP4
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25.1 MB
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4. Collaborative Filtering.srt
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SRT
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2.4 KB
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|
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4. Data Analysis Part 2.mp4
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MP4
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85.1 MB
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|
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4. Data Analysis Part 2.srt
|
SRT
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7.7 KB
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4. Default Rates by Conversions.mp4
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MP4
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53.7 MB
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4. Default Rates by Conversions.srt
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SRT
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5.4 KB
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|
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4. Introduction to Data Models and Structured Data.mp4
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MP4
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88.8 MB
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|
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4. Introduction to Data Models and Structured Data.srt
|
SRT
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9.5 KB
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|
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4. Repeat customers Implementation.mp4
|
MP4
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113.8 MB
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|
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4. Repeat customers Implementation.srt
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SRT
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9.4 KB
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|
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4. Selecting the best number of clusters.mp4
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MP4
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70.9 MB
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|
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4. Selecting the best number of clusters.srt
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SRT
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5.4 KB
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4.1 Computing_and_visualizing_KPIs.ipynb
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IPYNB
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13.4 KB
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|
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4.1 Customer_Lifetime_Value (2).ipynb
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IPYNB
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60.6 KB
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4.1 Data_Driven_Customer_Segmentation (2).ipynb
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IPYNB
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169.4 KB
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4.1 From_Engagement_to_Conversions (2).ipynb
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IPYNB
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70.7 KB
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4.1 Product_Recommendation_System (3).ipynb
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IPYNB
|
157.1 KB
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5. Bank balances by conversions and Conversion rates by number of contacts.mp4
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MP4
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85.1 MB
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5. Bank balances by conversions and Conversion rates by number of contacts.srt
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SRT
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8.4 KB
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5. Conversion rates by age.mp4
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MP4
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118.6 MB
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|
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5. Conversion rates by age.srt
|
SRT
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11.5 KB
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|
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5. Data preparation Part 1.mp4
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MP4
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107.8 MB
|
|
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5. Data preparation Part 1.srt
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SRT
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10.1 KB
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|
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5. Interpreting customer segments.mp4
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MP4
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135.5 MB
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|
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5. Interpreting customer segments.srt
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SRT
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11.3 KB
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|
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5. Introduction to Pandas.mp4
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MP4
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61.1 MB
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|
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5. Introduction to Pandas.srt
|
SRT
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8.5 KB
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|
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5. Item-based product recommendation Part 1.mp4
|
MP4
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119.2 MB
|
|
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5. Item-based product recommendation Part 1.srt
|
SRT
|
6.5 KB
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|
|
5. Repeat customers Implementation Part 2.mp4
|
MP4
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124.1 MB
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|
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5. Repeat customers Implementation Part 2.srt
|
SRT
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11.8 KB
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|
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5.1 Computing_and_visualizing_KPIs (1).ipynb
|
IPYNB
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82.8 KB
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|
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5.1 Customer_Lifetime_Value (3).ipynb
|
IPYNB
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73.8 KB
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|
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5.1 Data_Driven_Customer_Segmentation (3).ipynb
|
IPYNB
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183 KB
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|
|
5.1 From_Engagement_to_Conversions (3).ipynb
|
IPYNB
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143.8 KB
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|
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5.1 Product_Analytics_Implementation.ipynb
|
IPYNB
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255.2 KB
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|
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5.1 Product_Recommendation_System (4).ipynb
|
IPYNB
|
155.1 KB
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|
|
6. Conversion vs non-conversion.mp4
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MP4
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88.4 MB
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|
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6. Conversion vs non-conversion.srt
|
SRT
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7.3 KB
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|
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6. Data preparation Part 2.mp4
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MP4
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62.7 MB
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|
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6. Data preparation Part 2.srt
|
SRT
|
6.3 KB
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|
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6. Encoding Months.mp4
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MP4
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43.8 MB
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|
|
6. Encoding Months.srt
|
SRT
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4.8 KB
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|
|
6. Importing JSON Files into pandas.mp4
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MP4
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38.7 MB
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|
|
6. Importing JSON Files into pandas.srt
|
SRT
|
4.3 KB
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|
|
6. Item-based product recommendation Part 2.mp4
|
MP4
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53.1 MB
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|
|
6. Item-based product recommendation Part 2.srt
|
SRT
|
4.8 KB
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|
|
6. Trending Items over time.mp4
|
MP4
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96.2 MB
|
|
|
6. Trending Items over time.srt
|
SRT
|
7.8 KB
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|
|
6.1 Computing_and_visualizing_KPIs (2).ipynb
|
IPYNB
|
132.5 KB
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|
|
6.1 Customer_Lifetime_Value (4).ipynb
|
IPYNB
|
88.9 KB
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|
|
6.1 From_Engagement_to_Conversions (4).ipynb
|
IPYNB
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148 KB
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|
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6.1 Importing_JSON_Files_into_pandas.ipynb
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IPYNB
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14.8 KB
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|
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6.1 Product_Analytics_Implementation.ipynb
|
IPYNB
|
255.2 KB
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|
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6.1 Product_Recommendation_System (5).ipynb
|
IPYNB
|
161.7 KB
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|
|
7. Conversions by age and marital status.mp4
|
MP4
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64.4 MB
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|
|
7. Conversions by age and marital status.srt
|
SRT
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6 KB
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|
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7. Data preparation Part 3.mp4
|
MP4
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30.4 MB
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|
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7. Data preparation Part 3.srt
|
SRT
|
3.3 KB
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|
|
7. Encoding Jobs.mp4
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MP4
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56.3 MB
|
|
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7. Encoding Jobs.srt
|
SRT
|
5.6 KB
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|
|
7. Identifying Semi-Structured and Unstructured Data.mp4
|
MP4
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86.4 MB
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|
|
7. Identifying Semi-Structured and Unstructured Data.srt
|
SRT
|
8.3 KB
|
|
|
7. Trending Items over time Implementation.mp4
|
MP4
|
56.4 MB
|
|
|
7. Trending Items over time Implementation.srt
|
SRT
|
5.3 KB
|
|
|
7.1 Computing_and_visualizing_KPIs (3).ipynb
|
IPYNB
|
183.4 KB
|
|
|
7.1 Customer_Lifetime_Value (6).ipynb
|
IPYNB
|
96.5 KB
|
|
|
7.1 From_Engagement_to_Conversions (5).ipynb
|
IPYNB
|
165.3 KB
|
|
|
7.1 Identifying_Semi_Structured_and_Unstructured_Data.ipynb
|
IPYNB
|
24.4 KB
|
|
|
8. Analysing Results.mp4
|
MP4
|
30.1 MB
|
|
|
8. Analysing Results.srt
|
SRT
|
3.6 KB
|
|
|
8. Building Linear Regression Model.mp4
|
MP4
|
142.5 MB
|
|
|
8. Building Linear Regression Model.srt
|
SRT
|
10.8 KB
|
|
|
8. Creating and Modifying Test Dataframes.mp4
|
MP4
|
104.6 MB
|
|
|
8. Creating and Modifying Test Dataframes.srt
|
SRT
|
10.3 KB
|
|
|
8. Encoding marital and the housing and loan variables.mp4
|
MP4
|
66.9 MB
|
|
|
8. Encoding marital and the housing and loan variables.srt
|
SRT
|
6.1 KB
|
|
|
8. Summary of the section.mp4
|
MP4
|
17.2 MB
|
|
|
8. Summary of the section.srt
|
SRT
|
2.3 KB
|
|
|
8.1 Creating_and_modifying_Test_dataframes.ipynb
|
IPYNB
|
29.2 KB
|
|
|
8.1 Customer_Lifetime_Value (7).ipynb
|
IPYNB
|
107.3 KB
|
|
|
8.1 From_Engagement_to_Conversions (6).ipynb
|
IPYNB
|
191.1 KB
|
|
|
9. Building decision trees.mp4
|
MP4
|
111.6 MB
|
|
|
9. Building decision trees.srt
|
SRT
|
10.1 KB
|
|
|
9. Combining DataFrame and Handling Missing Values.mp4
|
MP4
|
58.7 MB
|
|
|
9. Combining DataFrame and Handling Missing Values.srt
|
SRT
|
6.3 KB
|
|
|
9. Evaluating Model Performance.mp4
|
MP4
|
121.6 MB
|
|
|
9. Evaluating Model Performance.srt
|
SRT
|
9.9 KB
|
|
|
9.1 Combining_DataFrames_and_Handling_Missing_Values.ipynb
|
IPYNB
|
13.4 KB
|
|
|
9.1 Customer_Lifetime_Value (8).ipynb
|
IPYNB
|
152.6 KB
|
|
|
9.1 From_Engagement_to_Conversions (7).ipynb
|
IPYNB
|
241.4 KB
|
|
|
Bonus Resources.txt
|
TXT
|
307.2 B
|
|
|
Get Bonus Downloads Here.url
|
URL
|
204.8 B
|
|
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bank-full.csv
|
CSV
|
4.4 MB
|
|
|
bank-names.txt
|
TXT
|
3.8 KB
|
|
|
bank.csv
|
CSV
|
450.7 KB
|
|
|
data.csv
|
CSV
|
1 KB
|
|
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sales.xlsx
|
XLSX
|
10.6 MB
|
|
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user_info.json
|
JSON
|
8.2 KB
|
